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Today, Palo Alto-based startup Credo AI announced a new collaboration with Databricks. Their AI governance platform will now be available on the Databricks Data Intelligence Platform. This integration means that Databricks users can easily track and manage AI risk and compliance at scale. Utilizing data and evidence already stored on the Databricks platform, this partnership brings transparency to the AI development lifecycle.
Founded in 2020, Credo AI secured $12.8 million in Series A funding in May 2022. The integration with Databricks’ MLFlow, which handles the machine learning development lifecycle, will automatically convert model metrics and metadata into Model Cards and other necessary governance documents like AI Impact Assessments.
The importance of this integration is underscored by emerging regulations such as the EU AI Act. These regulations will require model providers and developers to self-assess the risks of their AI systems, perform conformity assessments, maintain auditable records, and monitor performance. This is in addition to meeting transparency requirements based on the model’s risk category.
Credo AI’s founder and CEO Navrina Singh explained that their goal has always been to provide continuous accountability and oversight over technical infrastructure. She believes the Databricks partnership will be significant for 2024, signaling to enterprises the importance of governance that understands context and business priorities. This collaboration not only helps in managing risk but also aids in releasing safe and responsible products to the market.
Roger Murff, VP of technology partners at Databricks, echoed this sentiment in a press release. He stated that partnering with Credo AI would bring AI policy intelligence to their platform. As companies refine their AI strategies, they recognize the critical role of governance in ensuring safe, responsible, and compliant AI adoption at scale.
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